from datetime import datetime, timedelta, date
import numpy as np
import pandas as pd
from sklearn import datasets
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import mean_squared_error

from quant import data_utils


def run():
    a = [0,1]
    b = [4,6]
    c= [2,3]
    d = [2,4,7]
    e = [7]
    n = 1
    for i in a:
        for j in b:
            for k in c:
                for l in d:
                    for m in e:
                        print(f'{n}: {i} {j} {k} {l} {m}')

                        if n%5==0:
                            print("==========")

                        n += 1

if __name__ == '__main__':
    run()

